Learning in mean-field games is a nascent but active research area. Early contributions to learning in mean-field games include [1]} and [2]}, which studied learning in specific classes of MFGs. Another relatively early contribution to learning in a mean-field environment is [3]}, which studies a model inspired by the mean-field theory of physics; the model used there is closely related to (but different from) typical models of mean-field games.
